Analysis and prediction of upper extremity movements by cyclograms

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21460%2F14%3A00221623" target="_blank" >RIV/68407700:21460/14:00221623 - isvavai.cz</a>

Výsledek na webu

<a href="http://link.springer.com/article/10.2478/s11536-013-0322-y" target="_blank" >http://link.springer.com/article/10.2478/s11536-013-0322-y</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.2478/s11536-013-0322-y" target="_blank" >10.2478/s11536-013-0322-y</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Analysis and prediction of upper extremity movements by cyclograms

Popis výsledku v původním jazyce

Quantification of upper extremity movement is a common objective in both research and clinical practice. Currently, methods based on angle-angle diagrams, also called cyclograms, seem to be promising. Nevertheless, compared to the study of lower limbs, the concept of angle-angle diagrams has not been systematically used to study upper limb movements during walking. The paper describes two examples of new methods based on angle-angle diagrams for application in rehabilitation and assistive robotics. Thecyclograms represent information about the relationship between the angles and their changes over time. We used cyclograms as patterns for learning artificial neural networks and predicting the movement of upper-limb. Together with artificial intelligence, cyclograms offer wide scope of application in prosthesis control systems. Using bilateral cyclogram, the information about the relationship between the right and left arm joint angles is used to evaluate the symmetry of movements. The

Název v anglickém jazyce

Analysis and prediction of upper extremity movements by cyclograms

Popis výsledku anglicky

Quantification of upper extremity movement is a common objective in both research and clinical practice. Currently, methods based on angle-angle diagrams, also called cyclograms, seem to be promising. Nevertheless, compared to the study of lower limbs, the concept of angle-angle diagrams has not been systematically used to study upper limb movements during walking. The paper describes two examples of new methods based on angle-angle diagrams for application in rehabilitation and assistive robotics. Thecyclograms represent information about the relationship between the angles and their changes over time. We used cyclograms as patterns for learning artificial neural networks and predicting the movement of upper-limb. Together with artificial intelligence, cyclograms offer wide scope of application in prosthesis control systems. Using bilateral cyclogram, the information about the relationship between the right and left arm joint angles is used to evaluate the symmetry of movements. The

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

CEP obor

EI - Biotechnologie a bionika

OECD FORD obor

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Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2014

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Central European Journal of Medicine

ISSN

1895-1058

e-ISSN

—

Svazek periodika

9

Číslo periodika v rámci svazku

6

Stát vydavatele periodika

AT - Rakouská republika

Počet stran výsledku

7

Strana od-do

814-820

Kód UT WoS článku

000340672300014

EID výsledku v databázi Scopus

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